检索结果-内蒙古大学图书馆

第三十四届中国控制会议

作者： Jian Jia Zhihong Peng School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467374439

In the multi-platform air defense combat, platforms cooperate to achieve best effect. In the traditional air defense cooperation, assigning interception units has been paid more attention. Based on the existing task allocation model, we added the cooperative guidance and time window constraints to accord with the modern battle mode. An allocation method based on decentralized auctions is also proposed. Each platform employs the heuristic method to choose proper target and confirm the execution time, then resolve the conflict by consensus rules. This method is robust for communication network, besides it can avoid the single point of failure. Simulation results show this algorithm is significantly effective and satisfies the demand of real time.

关键词： Weapon Target Assignment,Cooperative,Modeling,Time Window,Decentralized Auction

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Distributed Motion Coordination for Multi-agent systems with Connectivity Maintenance Using Backbone-Based Networks *

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IFAC Proceedings Volumes 2011年第1期44卷 13588-13593页

作者： Yutian Mao Lihua Dou Hao Fang Huagang Liu Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China. (Tel: 010-68913795)

Abstract This paper addresses the problem of distributed connectivity constrained motion coordination of multiple autonomous mobile agents. Different from traditional flat network structure which lacks flexibility and scalability when performing complex spatially distributed tasks, a novel distributed framework for construction of backbone-based hierarchical communication networks is proposed. Firstly, the proposed method periodically extracts a subset of agents which can form the communication backbone from the original network using only local information, thus partitions the system into backbone agents and non-backbone agents. Furthermore, the global network connectivity of the system is maintained at two levels: connectivity-preserving potential functions are used to maintain existing links in the backbone; connectivity between backbone and non-backbone agents is achieved via a leader-follower formation control scheme with backbone agents as the leaders. Finally, nontrivial numerical simulations are worked out to verify the theoretical results.

关键词： Multi-agent systems Motion coordination Connectivity maintenance Backbone-Based network

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Adaptive fuzzy PD+ based spacecraft attitude maneuvering 11

Adaptive fuzzy PD+ based spacecraft attitude maneuvering

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2014 11th World Congress on intelligent control and Automation, WCICA 2014

作者： Zhong, Li Chen, Zhen Liu, Xiangdong Yang, Dapeng Key Laboratory for Intelligent Control and Decision of Complex System School of Automation Beijing Institute of Technology Beijing China

This paper proposes adaptive fuzzy PD+ based controller for the attitude maneuver of rigid spacecraft. Based on the error of the system, the adaptive fuzzy PD+ based controller applies adaptive fuzzy algorithm to modify the gains of PD+ attitude controller online. The advantage of the adaptive fuzzy PD+ based controller is presented in simulation results. © 2014 IEEE.

关键词： Adaptive fuzzy PD+ based controller Attitude maneuver Rigid spacecraft

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Formation control based on Flocking Algorithm in Multi-agent system

Formation Control based on Flocking Algorithm in Multi-agent...

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The 8th World Congress on intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Hu Cao Jie Chen Yutian Mao Hao Fang Huagang Liu Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

This paper mainly addresses flocking control algorithm to implement the “boids” model of Reynolds among the formation control by nonholonomic multi-robots. Firstly, distributed flocking of multiple autonomous agents with double integrator dynamics is studied. The proposed flocking algorithm is a gradient-based protocol combined with a velocity consensus protocol. For the gradient-based term, smooth artificial potential functions which could cope with the problem of shape generation are devised for all the agents. Moreover, the proposed coordinated protocols are applied to the formation control of a team of nonholonomic mobile robots. Finally, simulations and experiments show that the proposed controllers ensure the group formation is stabilized to a desired shape, while all the robots’ velocities and directions converge to the same.

关键词： Protocols Computational modeling Robot kinematics Vehicle dynamics Mobile robots Stability analysis

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Fractional-order Virtual Model control for Trotting Motion of Quadruped Robot

Fractional-order Virtual Model Control for Trotting Motion o...

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Chinese control and decision Conference, CCDC

作者： JiangBo Zhao Shicheng Ma Shanshuai Niu Junzheng Wang Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

Virtual model control (VMC) is the most widely-used method for motion control of quadruped robot. VMC could decrease the abrupt ground reaction force and realize compliant interaction between foot and ground at the cost of control precision. To improve the robustness and precision of VMC, we integrate a fractional-order virtual damper with the classical VMC and propose a fractional-order VMC (FOVMC) for quadruped robot trotting motion. And we provide the implementation details about optimization-based FOVMC parameter tuning method and carry out the trotting experiments on the quadruped robot platform. The experiment results demonstrate that FOVMC could improve the precision of single-leg motion control and achieve a better whole-body trotting performance than classical VMC.

关键词： Legged locomotion Motion control Robot kinematics Foot Torque Force

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Design and simulation of a hydraulic biped robot

Design and simulation of a hydraulic biped robot

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Chinese control Conference (CCC)

作者： Guangrong Chen Junzheng Wang Lipeng Wang Yudong He Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology 100081 China

Hydraulic biped robots have better mobility than conventional wheeled robots, and hydraulic actuator has some incomparable advantages, such as large torque and strong load capacity. In this paper, the biped structure of robot actuated by hydraulic system is designed to make it simulate human's action better. Meanwhile, for actuating the bipedal locomotion, the design and performance test of electro-hydraulic position servo system based on micro valve-controlled cylinder has been done. Then, the biped robot module can be taken as an inverted pendulum mathematical model to achieve all the gait planning, including starting gait, normal walking gait and stopping gait. Also, the stability of the gait and the feasibility of the gait planning are evaluated through ZMP principle. Finally, the virtual prototype model of biped robot is created to simulate the biped structure of robot and the planning gait, and the stability of walking and the effectiveness of the way of gait planning are verified very well.

关键词： Legged locomotion Planning Stability analysis Electronic mail Servomotors

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Hybrid control and steering logic for the CMG-based spacecraft attitude control system

Hybrid control and steering logic for the CMG-based spacecra...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Xing Xin Zhen Li Xiangdong Liu Zhen Chen Chinese National Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

ISBN: (纸本)9781479977970

Considering the momentum singularity characteristics, an integrated control strategy for the control moment gyros based attitude control systems is proposed, in which the angular momentum conservation between the spacecraft and the CMG is utilized to improved the system performance both in the closed loop responsiveness and the singularity controllability. The moment exchange capability of the CMGs can be fully developed by the control logic under normal operation, while the exchange space is specifically restrained to guarantee the effectiveness of the singularity avoidance steering when gimbal lock occurs. An online uncertainty identification method based on the momentum exchange property is applied in the hybrid control logic to improve the robustness of the system for the first place, and the remaining uncertainty is further handled by an adaptive control law. Numerical simulations for the practical agile spacecraft maneuvering are conducted to verify the effectiveness of the proposed algorithms.

关键词： Space vehicles Attitude control Uncertainty Torque Kinematics control systems Robustness

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control of Spatially Interconnected systems with Random Communication Losses

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自动化学报 2010年第2期36卷 258-266页

作者： LI Hui WU Qing-He HUANG Huang School of Automation Beijing Institute of Technology Beijing 100081 P.R. China Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing 100081 P.R. China

This paper deals with analysis and synthesis problems of spatially interconnected systems where communicated information may get lost between subsystems. Spatial shift operator and temporal forward shift operator are introduced to model the interconnected systems as discrete time-space multidimensional linear systems with Markovian jumping parameters which reflect the state of communication channels. To ensure the whole system＇s well-posedness and mean square stability for a given packet loss rate, a condition is derived through analysis. Then a procedure of designing distributed dynamic output feedback controllers is proposed. The controllers have the same structure as the plants and are solved within the linear matrix inequality （LMI） framework. Finally, we apply these results to study the effect of communication losses on the multiple vehicle platoon control system, which further illustrates the effectiveness of the proposed model and method.

关键词： Spatially interconnected system communication loss Markovian jump linear system linear matrix inequality （LMI）

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High-Flexibility Locomotion and Whole-Torso control for a Wheel-Legged Robot on Challenging Terrain*

High-Flexibility Locomotion and Whole-Torso Control for a Wh...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Kang Xu Shoukun Wang Xiuwen Wang Junzheng Wang Zhihua Chen Daohe Liu Key Laboratory of Drive and Control of Servo Motion System Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China

ISBN: (数字)9781728173955

ISBN: (纸本)9781728173962

In this paper, we propose a parallel six-wheel-legged robot that can traverse irregular terrain while carrying objectives to do heavy-duty work. This robot is equipped with six Stewart platforms as legs and tightly integrates the additional degrees of freedom introduced by the wheels. The presented control strategy with physical system used to adapt the diverse degrees of each leg to irregular terrain such that robot increases the traversability, and simultaneously to maintain the horizontal whole-torso pose. This strategy makes use of Contact Scheduler (CS) and Whole-Torso control (WTC) to control the multiple degrees of freedom (DOF) leg for performing high-flexibility locomotion and adapting the rough terrain like actively parallel suspension system. We conducted experiments on flat, slope, soft and sand-gravel surface, which validate the proposed control method and physical system. Especially, we attempt to traverse over sand-gravel terrain with 3 people about 240kg payload.

关键词： Legged locomotion Wheels Torso Force Kinematics

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Adaptive optimal control for a class of uncertain systems with saturating actuators and external disturbance using integral reinforcement learning

Adaptive optimal control for a class of uncertain systems wi...

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Asian control Conference

作者： Jingang Zhao Minggang Gan Jie Chen Dongyang Hou Meng Zhang Yongqiang Bai State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing

ISBN: (纸本)9781509015740;9781509015733

The problem of adaptive optimal control for a class of nonlinear uncertain systems with saturating actuators and external disturbance is investigated in this paper. Considering the saturating actuators, a non-quadratic cost function is adopted. The key of this optimal control problem is to find the solution to the Hamilton Jacobi Bellman equation (HJB). An online intergral reinforcement learning (IRL) algorithm based-Neural Network (NN) is given to approximate the solution. Unlike traditional integral reinforcement learning algorithms, data onto a period of time stored together with current data are used to update the neural network weights in place of persistence of excitation (PE) condition. This method overcomes the shortcomings of the PE condition which is not easy to be checked online. Finally, numerical examples are given to show the effectiveness of the proposed methods.

关键词： Optimal control Actuators Nonlinear systems Approximation algorithms Artificial neural networks system dynamics

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